Students

May 9, 2022

NC State Students Host Exhibition to Celebrate W.E.B. Du Bois’ Visualization Work

The exhibition features a variety of research and data visualization inspired by Du Bois's work.

May 5, 2022

Graduation to Vocation: Katie Kolcusky is Using Data to Protect Nature

Upon graduation, MGIST student Katie Kolcusky will begin work as a solution engineer with Esri's National Government Team.

May 5, 2022

Congrats to Our May 2022 Graduates!

This semester, we celebrate the NC State graduation of 58 members of the Center for Geospatial Analytics community. Congratulations to all of our doctoral, professional master’s and graduate certificate students on their success!

May 5, 2022

Leveraging GIS Know-How for Custom Problem-Solving

During the Spring 2022 semester, our graduating professional master’s students worked with industry, government and nonprofit partners to apply their knowledge and skills to pressing geospatial challenges.

Apr 6, 2022

Celebrating Our Community: Third Annual CGA Awards

At our Awards Banquet on March 31, the Center for Geospatial Analytics honored students, faculty and staff for their achievements and presented the CGA Awards.

Apr 4, 2022

Rachel Porter Is NC State’s 2022 Esri Innovation Program Student of the Year

NC State joined a select group of universities worldwide when it became part of the Esri Innovation Program in 2017. Congratulations to our 2022 EIP Student of the Year: Fall 2021 MGIST graduate Rachel Porter!

Mar 3, 2022

During Droughts, Thirstier Mountain Forests Could Mean Less Water Downstream

Research led by Geospatial Analytics Ph.D. student Katie McQuillan finds increased water use by upstream mountain forests could leave less water for other forests, cities and wildlife during drought.

Feb 23, 2022

Deja Perkins Recognized as One of North Carolina’s Black STEM Leaders

Geospatial Analytics Ph.D. student Deja Perkins is co-organizer of #BlackBirdersWeek and the BlackAFinSTEM Collective.

Feb 22, 2022

Study: U.S. Flood Damage Risk Is Underestimated

A research team led by Geospatial Analytics Ph.D. student Elyssa Collins used artificial intelligence to predict where flood damage is likely to happen in the conterminous United States, suggesting that recent flood maps from the Federal Emergency Management Agency do not capture the full extent of flood risk.

Feb 10, 2022

Observing Landslide Events from Multi-Satellite Sensors

Geospatial Analytics Ph.D. student Raja Das is advancing the use of satellite imagery and machine learning to map the impacts of landslides and flooding, comparing the utility of different spatial resolutions and algorithms.